Soil enzyme profile analysis for indicating decomposer micro-food web

文献类型： 外文期刊

第一作者： Xing, Wen

作者： Xing, Wen;Hu, Ning;Li, Zhongfang;Xing, Wen;Zhang, Qingwen;Lou, Yilai;Feng, Liangshan;Zhang, Weidong;Du Preez, Gerhard;Zhang, Huimin;Li, Dongchu;Lu, Shunbao;Chang, Scott X.

作者机构：

关键词： co-occurrence network; decomposition channel; food web; microbiome; nematode; protozoa; soil exoenzyme

期刊名称：IMETA （ 影响因子：33.2； 五年影响因子：33.2 ）

ISSN： 2770-5986

年卷期： 2024 年 3 卷 1 期

页码：

收录情况： SCI

摘要： Highly diverse exoenzymes mediate the energy flow from substrates to the multitrophic microbiota within the soil decomposer micro-food web. Here, we used a "soil enzyme profile analysis" approach to establish a series of enzyme profile indices; those indices were hypothesized to reflect micro-food web features. We systematically evaluated the shifts in enzyme profile indices in relation to the micro-food web features in the restoration of an abandoned cropland to a natural area. We found that enzymatic C:N stoichiometry and decomposability index were significantly associated with substrate availability. Furthermore, the higher Shannon diversity index in the exoenzyme profile, especially for the C-degrading hydrolase, corresponded to a greater microbiota community diversity. The increased complexity and stability of the exoenzyme network reflected similar changes with the micro-food web networks. In addition, the gross activity of the enzyme profile as a parameter for soil multifunctionality, effectively predicted the substrate content, microbiota community size, diversity, and network complexity. Ultimately, the proposed enzymic channel index was closely associated with the traditional decomposition channel indices derived from microorganisms and nematodes. Our results showed that soil enzyme profile analysis reflected very well the decomposer food web features. Our study has important implications for projecting future climate change or anthropogenic disturbance impacts on soil decomposer micro-food web features by using soil enzyme profile analysis. This study proposed the approach of a "soil enzyme profile analysis" whereby a series of enzyme profile indices were hypothesized to comprehensively reflect the micro-food web features. Using a case study on the restored natural area of a post-arable system, we systematically evaluated the shifts in enzyme profile indices in relation to the micro-food web features. +, -, up arrow, and down arrow represent positive correlation, negative correlation, increase, and decrease trends, respectively.Highlightsimage Soil enzyme profile analysis for indicating decomposer micro-food web features was first proposed.Diversity indication utilities for contrasting enzyme profiles were different.Protozoa channel index and enzymatic channel index were proposed.

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